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The cron command-line utility is a job scheduler on Unix-like operating systems.Users who set up and maintain software environments use cron to schedule jobs [1] (commands or shell scripts), also known as cron jobs, [2] [3] to run periodically at fixed times, dates, or intervals. [4]
DAGs can be run either on a defined schedule (e.g. hourly or daily) or based on external event triggers (e.g. a file appearing in Hive [5]). Previous DAG-based schedulers like Oozie and Azkaban tended to rely on multiple configuration files and file system trees to create a DAG, whereas in Airflow, DAGs can often be written in one Python file. [6]
List scheduling is a greedy algorithm for Identical-machines scheduling.The input to this algorithm is a list of jobs that should be executed on a set of m machines. The list is ordered in a fixed order, which can be determined e.g. by the priority of executing the jobs, or by their order of arrival.
The following IronPython script manipulates .NET Framework objects. This script can be supplied by a third-party client-side application developer and passed into the server-side framework through an interface. Note that neither the interface, nor the server-side code is modified to support the analytics required by the client application.
Task Scheduler (formerly Scheduled Tasks) [1] is a job scheduler in Microsoft Windows that launches computer programs or scripts at pre-defined times or after specified time intervals. [2] [3] Microsoft introduced this component in the Microsoft Plus! for Windows 95 as System Agent. [4] Its core component is an eponymous Windows service. [5]
Ignition uses an implementation of Python version 2.5 called Jython. Python script is used for component Event Handling. An example of this would be opening a popup window when a user clicks on a graphic object. Another common use are event scripts such as a timer that checks for alarms or a logon script.
Given a description of the possible initial states of the world, a description of the desired goals, and a description of a set of possible actions, the planning problem is to synthesize a plan that is guaranteed (when applied to any of the initial states) to generate a state which contains the desired goals (such a state is called a goal state).
The scheduler is an operating system module that selects the next jobs to be admitted into the system and the next process to run. Operating systems may feature up to three distinct scheduler types: a long-term scheduler (also known as an admission scheduler or high-level scheduler), a mid-term or medium-term scheduler, and a short-term scheduler.